公开(公告)号：US20210192296A1

公开(公告)日：2021-06-24

申请号：US17131039

申请日：2020-12-22

Applicant: Electronics and Telecommunications Research Institute

Inventor： Nack Woo KIM ,  Byung-Tak LEE ,  Jungi LEE ,  Hyun Yong LEE

IPC: G06K9/62 ,  G06N3/08

Abstract: A data de-identification method and an apparatus performing the data de-identification method are disclosed. The data de-identification method includes receiving identification data including a plurality of input feature vectors and generating a graph neural network (GNN) model including a plurality of nodes each having a value corresponding to each of the input feature vectors, determining a de-identification vector to which a correlation between the nodes is applied from the input feature vectors through the GNN model, and extracting an output feature vector by grouping values in each of the input feature vectors using the GNN model.